Sustainable Development Using IoT and AI Techniques for Water Utilization in Agriculture
Sampath Boopathi
Abstract
Water scarcity and poor quality are major challenges in agriculture, affecting crop growth and food security. IoT and AI techniques are being explored for sustainable development, including water management, precision irrigation, and data analytics. IoT sensors collect real-time data, while AI algorithms predict availability and optimize irrigation schedules. Precision irrigation improves water use efficiency and productivity by utilizing data analytics and clustering algorithms. IoT and AI in agriculture offer economic benefits like increased crop yields, water savings, and sustainable practices. However, initial investment costs, social acceptance, and policy considerations hinder widespread adoption. Future directions should focus on scaling, collaboration, investment, customizable solutions, farmer-to-farmer knowledge transfer, and research funding. Addressing data privacy, security, and connectivity concerns is crucial for trust and confidence among stakeholders.